histogram

问题 l would like to plot histograms of three vectors sharing the same x-axis which is classes. Classes (101 string values) is a set of labels classes={'playingguitar', 'billiards', 'boxingboxingspeedbag', 'applylipstick', 'playingsitar', 'fieldhockeypenalty', 'blowingcandles', 'longjump', 'playingdhol', 'biking', 'playingpiano', 'handstandwalking', 'playingcello', 'ropeclimbing', 'hulahoop', 'cricketshot', 'punch', 'pushups', 'floorgymnastics', 'jumpingjack', 'lunges', 'golfswing', 'bandmarching'

问题 This question already has answers here : Improve subplot size/spacing with many subplots in matplotlib (6 answers) Closed last year . I have this plot made in pandas: I want to have more space between the titles of the plots and the axis of the following ones, so that they dont overlap. I have tried the solutions of the question Improve subplot size/spacing with many subplots in matplotlib but none of them makes nothing to my plot. 回答1: You can use plt.tight_layout() after plotting all the

问题 I have a random vector (random length and random angle) and would like to plot its approximate PDF (probability density function) via hist2d or hexbin . Unfortunately they seems not to work with polar plots, the following code yields nothing: import numpy as np import matplotlib.pyplot as plt # Generate random data: N = 1024 r = .5 + np.random.normal(size=N, scale=.1) theta = np.pi / 2 + np.random.normal(size=N, scale=.1) # Plot: ax = plt.subplot(111, polar=True) ax.hist2d(theta, r) plt

问题 My (huge) dataframe coming from a python code is composed of counts in different size classes for each sample as in : dummy <- as.data.frame(matrix(nrow = 10, ncol = 12)) colnames(dummy) <- c("ID", paste("cl", c(1:11), sep = ".")) dummy$ID <- c(letters[1:10]) dummy[, -1] <- rep(round(abs(rnorm(11))*1000,0), 10) I try to create histograms of the counts for each sample (ID) having size classes on X axis and counts (frequencies) on Y axis. No success with hist() , combining as.numeric() and t()

问题 So, I am plotting densities (histograms). For example: d <- density(table[table$position==2,]$rt) But, I want to plot multiple densities on the same plot. For instance, I also want to plot density(table[table$position==3,]$rt) density(table[table$position==4,]$rt) density(table[table$position==5,]$rt) Furthermore, I want to specify the center point for each of these densities. Another way to ask this question is, how can I manually shift a density plot over by a certain number of x units?

问题 So, I am plotting densities (histograms). For example: d <- density(table[table$position==2,]$rt) But, I want to plot multiple densities on the same plot. For instance, I also want to plot density(table[table$position==3,]$rt) density(table[table$position==4,]$rt) density(table[table$position==5,]$rt) Furthermore, I want to specify the center point for each of these densities. Another way to ask this question is, how can I manually shift a density plot over by a certain number of x units?

问题 I have a bitmap image like this My requirement is to create a GUI to load the image and for changing the contrast and other things on the image and algorithm to mark the particular area in silver colour as shown in the fig using C++ or C#.I am new to image processing and through my search I have found out that I can use the Histogram of the image for finding the required area.These are the steps. Get the histogram Search for intensity difference Search for break in the line Can someone

问题 In my application I read RGB pixel values from several images using fast unmanaged code and then convert them to HSB colors. Now I'd like to build an HSB histogram using the following partitions: Hue: 18 partitions, resulting in intervals of 20 from 0...360 Saturation: 3 partitions, resulting in intervals of 0,33 from 0...1 Brightness: 3 partitions, resulting in intervals of 0,33 from 0...1 So my histogram has a total of 18*3*3=162 partitions (bins) which consist of the lower interval borders

问题 I am trying to add corresponding labels to the color in the bar in a histogram. Here is a reproducible code. ggplot(aes(displ),data =mpg) + geom_histogram(aes(fill=class),binwidth = 1,col="black") This code gives a histogram and give different colors for the car "class" for the histogram bars. But is there any way I can add the labels of the "class" inside corresponding colors in the graph? 回答1: The inbuilt functions geom_histogram and stat_bin are perfect for quickly building plots in ggplot

问题 I am trying to code histogram equalization by my self, but the results are different from the built in function in matlab histeq . Any suggestions why is this happening?. I attached the code and the results. %% Histogram Equalization close all clear all %% I = imread('Iris_virginica.jpg'); grayI = rgb2gray(I); [m,n] = size(grayI); L = 256; [counts,x] = imhist(grayI); myCDF = cumsum(counts)/(m*n); equalizedI = (L-1)*myCDF(double(grayI)+1); equalizedI = uint8(equalizedI); histMyOut = imhist